Prédire les écoulements dans les plaines d'inondations dont l'occupation du sol varie lors de crues extrêmes (Projet ANR FlowRes)
Autor: | Proust, Sébastien, Berni, Céline, Boudou, Martin, Chiaverini, Antoine, Dupuis, Victor, Faure, Baptiste, Paquier, André, Lang, Michel, Guillen Ludena, Sebastian, Lopez, Diego, Mignot, Emmanuel, RIVIERE, Nicolas, Chagot, Loic, Rouzes, Maxime, Moulin, Frédéric, Goutal, Nicole, Oukacine, Marina, Peltier, Yann, Ferreira, Rui M.L., Brito, Moisés, Alves, Elsa, Gymnopoulos, Miltiadis, Leal, Joao, Mathurin, Bastien, Soarez Frazao, Sandra, Bousmar, Didier, Fernandes, Joao, Eiff, Olivier |
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Přispěvatelé: | Hydrologie-Hydraulique (UR HHLY), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Laboratoire de Mecanique des Fluides et d'Acoustique (LMFA), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Institut de mécanique des fluides de Toulouse (IMFT), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Laboratoire d'Hydraulique Saint-Venant / Saint-Venant laboratory for Hydraulics (Saint-Venant), École des Ponts ParisTech (ENPC)-Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement (Cerema)-EDF R&D (EDF R&D), EDF (EDF)-EDF (EDF), Instituto Superior Técnico, Universidade de Lisboa, Universidade Lisboa, Laboratório Nacional de Engenharia Civil [Lisboa] (LNEC), Laboratório Nacional de Engenharia Civil - LNEC, University of Agder, Université Catholique de Louvain (UCL), Service Public de Wallonie, Department of Computer Science [ETH Zürich] (D-INFK), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Karlsruher Institut für Technologie (KIT), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Instituto Superior Técnico, Universidade Técnica de Lisboa (IST), University of Agder (UIA), Université Catholique de Louvain = Catholic University of Louvain (UCL), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich) |
Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: | |
Zdroj: | 3rd European Conference on Flood Risk Management 3rd European Conference on Flood Risk Management, Oct 2016, Lyon, France. 12 p |
Popis: | 3rd European Conference on Flood Risk Management, Lyon, FRA, 17-/10/2016 - 21/10/2016; International audience; Flood hazards (flow depth and velocity) must be accurately assessed in high-risk areas during extreme flood events. However, the prediction of the very high flows is not an easy task due to the lack of field data and to the strong link between flow resistance and the land occupation of the floodplain. Confinement and inhomogeneity in lateral and longitudinal directions of hydraulic roughness strongly vary with return period T. The physical processes are complex, some still largely unexplored, and the assumptions linked to numerical modelling cannot be validated without field data. The FlowRes project (2015-2018), funded by the French National Research Agency (ANR), aims at improving the flood hazard assessment in floodplains in: 1) investigating in laboratory the hydrodynamic structure associated with extreme flood flows for various land occupations and flow discharge magnitudes; 2) assessing if the existing numerical modelling practices used for T ~ 100 years are still valid for extreme events with T > 1000 years, relying on the experimental |
Databáze: | OpenAIRE |
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